METR: Anthropic's AI models improving twice as fast, internal AI use drives ~80% of acceleration
A new METR report finds Anthropic's models are improving about twice as fast as they did between March 2024 and October 2025, with internal AI use driving roughly 80% of the acceleration. Anthropic redacted most of the confidential evidence METR found most informative, citing the need to prevent accelerating other AI developers.
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Tiffany Li / The Information : METR: Anthropic's models are improving about twice as fast as they did between March 2024 and October 2025, with internal AI use driving ~80% of acceleration — AI use within Anthropic may have doubled the company's pace of AI development, a new report from AI research nonprofit METR says.
METR
Redaction summary: As part of this assessment, Anthropic had rights to redact any non-public information in this post. Per our approach to transparency , we had the right to disclose if Anthropic exercised redaction rights, and whether or not any of our findings depended significantly on redacted information. While we were able to freely share our highest-level conclusions about risk, Anthropic redacted a majority of the evidence we found most informative for these conclusions. Anthropic described the redactions as “aimed at removing confidential information that could accelerate other AI developers.” 1 Some of these redactions are themselves challenging to describe clearly without revealing sensitive information we have been asked to redact. We share a table of important evidence we were and were not able to discuss given the redactions in our process section below. All redactions that were important for our conclusions are covered by our descriptions in that table or other in-line de
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